Design and Verification of an Interpretable Low-Code Maintenance Decision Support Application for Automotive Assembly
Industrial maintenance digitalization is often associated with sensor-rich predictive models, yet brownfield factories may first need reliable decision support from sparse historical records and familiar software. This study designs and verifies an interpretable low-code application for maintenance scenario assessment...